Browsing by Author "Yang, K. K."
Now showing items 1-5 of 5
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Altering the environment to improve appointment system performance
Çayırlı, Tuğba; Yang, K. K. (Informs, 2019-06)Current research on clinic performance is focused primarily on appointment scheduling rather than shaping the clinical environments. The goal of this study is to investigate the impact of environmental factors on the total ... -
Managing clinic variability with same-day scheduling, intervention for no-shows, and seasonal capacity adjustments
Yang, K. K.; Çayırlı, Tuğba (Taylor & Francis, 2020-01-02)This study investigates demand and capacity strategies for managing clinic variability. These include (i) same-day scheduling to control random walk-ins, (ii) no-show intervention, where the clinic calls advance-booked ... -
Predicting the performance of queues–A data analytic approach
Yang, K. K.; Çayırlı, Tuğba; Low, J. M.W. (Elsevier, 2016)Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, ... -
A universal appointment rule in the presence of no-shows and walk-ins
Çayırlı, Tuğba; Yang, K. K.; Quek, S. A. (Wiley, 2012-07)This study introduces a universal “Dome” appointment rule that can be parameterized through a planning constant for different clinics characterized by the environmental factors—no-shows, walk-ins, number of appointments ... -
A universal appointment rule with patient classification for service times, no-shows and walk-ins
Çayırlı, Tuğba; Yang, K. K. (Informs, 2014)This study evaluates patient classification for scheduling and sequencing appointments for patients differentiated by their mean and standard deviation of service times, no-show, and walk-in probabilities. Alternative ...
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